ea0081p386 | Endocrine-Related Cancer | ECE2022
Taylor Angela
, Bancos Irina
, Gilligan Lorna
, van Veen Rick
, Chortis Vasileios
, Shaheen Fozia
, Jenkinson Carl
, O'Neil Donna M
, Hughes Beverly
, Hawley James M
, Keevil Brian
, Shackelton Cedric H L
, Deeks Jonathan
, Sitch Alice J
, Biehl Michael
, Arlt Wiebke
Introduction: Gas chromatography mass spectrometry (GC-MS) is the gold standard method for urinary steroid profiling. However, GC-MS requires chemical derivatisation, long run times, is labour intensive, expensive, and unsuitable for rapid multi-sample analysis, limiting its use in routine clinical practice. GC-MS urinary steroid metabolomics, the combination of steroid profiling and machine learning (Generalized Matrix Learning Vector Quantization) was shown to have superior ...